ML инженер

Haystack is hiring for a partner developing an AI-driven platform that rethinks how sports are experienced through player performance insights, contextual statistics, injury risk analysis, and personalized recommendations.

• Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science;
• Generate actionable insights for player performance, contextual statistics, and injury risk;
• Integrate model-driven insights into personalisation engines and tailor recommendations;
• Define advanced experimental designs and lead A/B testing;
• Establish robust MLOps practices;
• Design, architect, and operate low-latency, highly reliable cloud-based AI systems for live sports scenarios.

• Extensive lead-level engineering experience delivering data-driven ML systems;
• Working knowledge of modern ML techniques, including Generative AI;
• Advanced Python expertise with strong hands-on use of ML/DL frameworks such as PyTorch and TensorFlow;
• End-to-end MLOps experience, including CI/CD for ML, experiment tracking, and model registries;
• Proven technical leadership experience, including mentoring and guiding Senior and Mid-Level Data Scientists.

• Professional development in an innovative tech environment;
• Hybrid working with 2 days per week onsite at the Osterley office.